AI Engineering · CA
LLM Orchestration in California
Bay Area teams search LLM orchestration when a single prompt is not a product. I design graphs, tools, retries, and traces for California companies that need agents in production, not a notebook.
Token budgets and eval gates are part of the California SaaS default spec.
Why California teams look for LLM orchestration
- Prompt spaghetti
- No traces
- Agents that loop until the bill explodes
What ships
Stateful multi-step LLM agents with tools, memory, and audit trails.
Primary keyword: LLM orchestration. Also targeted: LangGraph, multi-agent systems, agent orchestration.
California use cases
Support resolver graph
Retrieve, act, refuse, escalate.
Internal research agent
Tools over your APIs with budgets.
Voice + RAG orchestration
Same brain as the call agent, different channel.

